ESTIMATION OF THE REFERENCE CROP EVAPOTRANSPIRATION USING FUZZY LOGIC AND ARTIFICIAL NEURAL NETWORK

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PIRMORADIAN N.; ABOLPOUR B.

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Journal: JOURNAL OF BIOLOGY SCIENCE Year:2010 | Volume:4 | Issue:3 (SERIES NO. 14) Page(s): 21-34

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Title

ESTIMATION OF THE REFERENCE CROP EVAPOTRANSPIRATION USING FUZZY LOGIC AND ARTIFICIAL NEURAL NETWORK

Author(s)

PIRMORADIAN N. | ABOLPOUR B. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKQ3

EVAPOTRANSPIRATIONQ2

FUZZY LOGICQ2

Abstract

Evapotranspiration is the most important component of the irrigation requirement. In this study, the fuzzy inference systems and ARTIFICIAL NEURAL NETWORK was used to accurate estimate of the reference crop EVAPOTRANSPIRATION (ET0) due to the effect of uncertain factors on this parameter. It is needed some meteorological data for calculating the ET0 in Penman-Monteith method. The EVAPOTRANSPIRATION modeling based on existent data is required, as regards to restriction of meteorological data in temporal and spatial scales. In this study site (Kor and Sivand stream watershed, Fars Province), the temperature data is the only meteorological parameter that was measured in a good temporal and spatial distributions. Therefore, at the first, the monthly ET0 was calculated using Penman-Monteith method for a 30 years period in two meteorological stations of study district. Then, a simulation model was derived between calculated ET0 from Penman-Monteith method and the monthly mean temperature, for one of the stations, based on an adaptive neuro fuzzy system (ANFIS) simulation method. Using this model, the ET0 was calculated for other station due to the monthly mean temperature. Also, these calculations and ANFIS model derivation were conducted with adding of the class A pan evaporation data to temperature data. The results demonstrated the ability of ANFIS model for monthly ET0 estimation in meteorological data restriction conditions.

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APA: Copy

PIRMORADIAN, N., & ABOLPOUR, B.. (2010). ESTIMATION OF THE REFERENCE CROP EVAPOTRANSPIRATION USING FUZZY LOGIC AND ARTIFICIAL NEURAL NETWORK. JOURNAL OF BIOLOGY SCIENCE, 4(3 (SERIES NO. 14)), 21-34. SID. https://sid.ir/paper/164246/en

Vancouver: Copy

PIRMORADIAN N., ABOLPOUR B.. ESTIMATION OF THE REFERENCE CROP EVAPOTRANSPIRATION USING FUZZY LOGIC AND ARTIFICIAL NEURAL NETWORK. JOURNAL OF BIOLOGY SCIENCE[Internet]. 2010;4(3 (SERIES NO. 14)):21-34. Available from: https://sid.ir/paper/164246/en

IEEE: Copy

N. PIRMORADIAN, and B. ABOLPOUR, “ESTIMATION OF THE REFERENCE CROP EVAPOTRANSPIRATION USING FUZZY LOGIC AND ARTIFICIAL NEURAL NETWORK,” JOURNAL OF BIOLOGY SCIENCE, vol. 4, no. 3 (SERIES NO. 14), pp. 21–34, 2010, [Online]. Available: https://sid.ir/paper/164246/en

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